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Unlocking AI: Machine learning as a service

CIO

Once upon a time, the data that most businesses had to work with was mostly structured and small in size. This meant that it was relatively easy for it to be analyzed using simple business intelligence (BI) tools. No organization can afford to fall behind. Today, this is no longer the case.

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What is business intelligence? Transforming data into business insights

CIO

Business intelligence definition Business intelligence (BI) is a set of strategies and technologies enterprises use to analyze business information and transform it into actionable insights that inform strategic and tactical business decisions.

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How to take machine learning from exploration to implementation

O'Reilly Media - Data

Interest in machine learning (ML) has been growing steadily , and many companies and organizations are aware of the potential impact these tools and technologies can have on their underlying operations and processes. How do you put your organization in a position to take advantage of ML technologies?

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Data distilleries: CIOs turn to new efficient enterprise data platforms

CIO

This shift allows for enhanced context learning, prompt augmentation, and self-service data insights through conversational business intelligence tools, as well as detailed analysis via charts. The ideal solution should be scalable and flexible, capable of evolving alongside your organization’s needs.

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations.

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From legacy to lakehouse: Centralizing insurance data with Delta Lake

CIO

Next, clean and organize the raw data. Gold layer: Create business insights. The machine learning models would target and solve for one use case, but Gen AI has the capability to learn and address multiple use cases at scale. Silver layer: Clean and standardize. ACID transactions can be enforced in this layer.

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When is data too clean to be useful for enterprise AI?

CIO

For many organizations, preparing their data for AI is the first time they’ve looked at data in a cross-cutting way that shows the discrepancies between systems, says Eren Yahav, co-founder and CTO of AI coding assistant Tabnine. We’re trying to get the AI to have the same knowledge as the best employee in the business,” he says.

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